无轴承永磁同步电机转子速度自检测复合方法研究  

Compound Method of Rotor Speed Self-sensing for a Bearingless Permanent Magnet Synchronous Motor

作　　者：许波[1] 朱熀秋[1] 姬伟[1] 

机构地区：[1]江苏大学,镇江212013

出　　处：《中国机械工程》2013年第14期1927-1932,共6页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(50275067);江苏省普通高校自然科学研究项目(12KJB470002);江苏省高校科研成果产业化推进工程资助项目(JHB2012-39);江苏省2009年度普通高校研究生科研创新计划基金资助项目(CX09B_200Z);江苏省高校优势学科建设工程资助项目(PAPD;苏政办发[2011]6号)

摘　　要：针对单一转速估计方法难以实现全速范围内准确估计转子速度的缺陷,提出一种转速估计复合方法,即在零速及低速运行时,采用脉振高频信号注入法。该方法不依赖于电机模型参数而仅依赖于电机本身的凸极特性,可实现零速及低速时转子速度的准确估计;高速运行时,采用带多重次优渐消因子扩展卡尔曼滤波器(SMFEKF)进行转速估计,利用SMFEKF极强的模型失配鲁棒性和独特的强跟踪能力,有效地提高系统在稳态及突变状态下的跟踪性能。通过设计两种方法的"软切换",实现低速到高速的平滑切换,并将该复合方法在无轴承永磁同步电机无速度传感器矢量控制系统中进行仿真研究。仿真结果表明:该复合方法能在全速范围内实现转子速度与位置的准确估计;在系统状态突变或负载扰动时,误差更小,鲁棒性更强。Because one method cannot obtain precise estimation of rotor speed and position in full speed,a compound method using high frequency signal injection and SMFEKF was proposed to estimate the rotor speed and position for a BPMSM herein.When the motor worked at state of zero and ultra-low speed,high frequency signal injection was used,which was based on motor space-saliency effect;at the high speed of the drive,SMFEKF was used.SMFEKF has strong robustness of the model mismatch and unique strong tracking ability,which can improve the tracking performance effectively to steady-state and mutation status.By designing speed switch,smooth switching was achieved.The sensorless vector control system of BPMSM was set up based on this estimation approach.Simulation study demonstrates that the proposed method is capable of precisely estimating rotor speed and position in full speed,high robustness is achieved under the conditions of step response or load disturbance.

关 键 词：脉振高频信号注入 带多重次优渐消因子EKF 无轴承永磁同步电机 无速度传感器 

分 类 号：TM346[电气工程—电机]